“Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of ‘collective intelligence’: the intelligence of groups of people and computers working together.”

I am excited to be part of MIT’s A.I. online education program as the Course Manager. This is best-in-class online education, from a top-tier university with a personalized, people mediated support. Not only does the course make A.I. accessible to every business professional but it contravenes the doom and gloom message (e.g. Stephen Hawking’s “worst event of civilization”) with a humans-in-the-loop, collective intelligence framework.

I work with an exceptional team of 7 Learning Facilitators/Subject Matter Experts, 2 Success Managers, and 3 MIT TAs dedicated to supporting students in their learning process.

◆ Oct. 30th, 2017 the course launched with 700+ students enrolled◆ The next course starts November 20th, 2017 Learn More

▸Web crowdsourcing mapping the surface of Mars Read▸Premium beer uses AI to improve with your feedback Read▸AI is now within the reach of every business CrowdFlower▸You help Google improve its Machine Learning Crowdsource

Birds detect motions propagating through the flock. But now, with high-speed networking technology, we humans can connect with each other from anywhere in the world. We just need the right technology to turn those connections into a real-time system with closed-loop feedback among members. That’s where Swarm AI comes in.

Good Quotes!

Collective intelligence is a superset of the term artificial intelligence, since collective intelligence can be created by a combination of human intelligence, artificial intelligence or both. The most valuable intelligent systems are a combination of that—that’s why the data troves of Google and Facebook, along with others, are so valuable. They have a host of trained machine learning models running constantly in addition to billions of clicks and actions being registered by all of their users.

- Anand Sampat, Co-Founder & CEO @ Datmo, ML geek

In human history, there is an increase in collective intelligence based on media that increase our ability to manipulate symbols. Currently, we are at the state of algorithmic symbol manipulation, but it’s just the beginning of this new era.

Humans excel at embedding individual intelligence in shareable constructs. Our early knowledge sharing relied on speech and other social behaviors, but over time we augmented this capacity for collective intelligence with writing, publishing and other technologies. This silent transformation - this long-term shift from the social to the technological - has led to a world where machines now play an increasingly dominant role as our containers of collective intelligence. Today’s explosive growth in machine learning marks a turning point as we now prioritize the teaching of machines over the teaching of humans. As this happens, knowledge becomes increasingly abstracted from individual human minds and machines transition from mere containers of our collective intelligence to agents capable of using that information on our behalf. This transformation changes humanity’s relationship to knowledge and raises profound implications for the future of the human experience.

I manage a group of machine learning and data scientist professionals at Everymans.ai, a boutique marketing, and Ai enabling consultancy. We help companies quickly exploit marketing opportunities by building AI-enabled Minimum Viable Products (MVP) that will differentiate their products and services to gain a competitive edge with Ai.

Have an early stage Ai startup looking for advice, investment or want to explore your MVP ideas, I’d love to hear from you.Email me: info(at)everymans.aiAsk me a question:Click Here